scholarly journals Applications of Ontologies in Knowledge Management Systems

2014 ◽  
Vol 65 (1) ◽  
pp. 78-80
Author(s):  
Zobia Rehman ◽  
Claudiu V. Kifor
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
21St Century ◽  
Organizational Knowledge ◽  
Knowledge Bases ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Artificial Intelligence Techniques ◽  
Poor Management

Abstract Enterprises are realizing that their core asset in 21st century is knowledge. In an organization knowledge resides in databases, knowledge bases, filing cabinets and peoples' head. Organizational knowledge is distributed in nature and its poor management causes repetition of activities across the enterprise. To get true benefits from this asset, it is important for an organization to “know what they know”. That’s why many organizations are investing a lot in managing their knowledge. Artificial intelligence techniques have a huge contribution in organizational knowledge management. In this article we are reviewing the applications of ontologies in knowledge management realm

scholarly journals Artificial Intelligence in Knowledge Management: Overview and Trends

2011 ◽  
Vol 43 (1) ◽  
pp. 5-11 ◽  
Author(s):  
Ilze Birzniece
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Artificial Intelligence Techniques ◽  
Management Issues

Artificial Intelligence in Knowledge Management: Overview and TrendsArtificial intelligence techniques offer powerful tools for the development of knowledge management systems. Since the early 2000s, no survey describing the use of artificial intelligence capabilities in knowledge management tasks has been conducted. This paper gathers and organizes latest achievements of artificial intelligence in dealing with knowledge management issues. Accomplishment of previously set objectives in this field has been studied.

Knowledge Management Systems Diffusion in Chinese Enterprises

2010 ◽  
pp. 1370-1385 ◽  
Author(s):  
One-Ki ("Daniel") Lee ◽  
Mo ("Winnie") Wang ◽  
Kai H. Lim ◽  
Zeyu ("Jerry") Peng
Keyword(s):  
Knowledge Management ◽  
Diffusion Process ◽  
Social Factors ◽  
Organizational Knowledge ◽  
Cultural Factors ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Chinese Enterprises ◽  
Holistic View ◽  
Practical Guidance

With the recognition of the importance of organizational knowledge management (KM), researchers have paid increasing attention to knowledge management systems (KMS). However, since most prior studies were conducted in the context of Western societies, we know little about KMS diffusion in other regional contexts. Moreover, even with the increasing recognition of the influence of social factors in KM practices, there is a dearth of studies that examine how unique social cultural factors affect KMS diffusion in specific countries. To fill in this gap, this study develops an integrated framework, with special consideration on the influence of social cultures, to understand KMS diffusion in Chinese enterprises. In our framework, we examine how specific technological, organizational, and social cultural factors can influence the three-stage KMS diffusion process, that is, initiation, adoption, and routinization. This study provides a holistic view of the KMS diffusion in Chinese enterprises with practical guidance for successful KMS implementation.

A Stage Model for NPD Process Maturity and IKMS Implementation

2011 ◽  
pp. 679-697 ◽  
Author(s):  
Nassim Belbaly ◽  
Hind Benbya
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Product Development Process ◽  
Management Systems ◽  
Maturity Stage ◽  
Knowledge Management Systems ◽  
Intelligent Knowledge Management

The objective of this chapter is to provide an analytical tool to assist organizations in their implementations of Intelligent Knowledge Management Systems (IKMS) along the new product development (NPD) process. Indeed, organizations rely on a variety of systems using Artificial Intelligence to support the NPD process that depends on the maturity stage of both the process and type of knowledge managed. Our framework outlines the technological and organizational path that organizations have to follow to integrate and manage knowledge effectively along their new product development process. In doing so, we also address the main limitations of the systems used to date and suggest the evolution towards a new category of KMS based on artificial intelligence that we refer to as Intelligent Knowledge Management Systems. We illustrate our framework with an analysis of several case studies.

A Stage Model for NPD Process Maturity and IKMS Implementation

2011 ◽  
pp. 418-437 ◽  
Author(s):  
Nassim Belbaly ◽  
Hind Benbya
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Product Development ◽  
New Product Development ◽  
New Product ◽  
Product Development Process ◽  
Management Systems ◽  
Maturity Stage ◽  
Knowledge Management Systems ◽  
Intelligent Knowledge Management

The objective of this chapter is to provide an analytical tool to assist organizations in their implementations of Intelligent Knowledge Management Systems (IKMS) along the new product development (NPD) process. Indeed, organizations rely on a variety of systems using Artificial Intelligence to support the NPD process that depends on the maturity stage of both the process and type of knowledge managed. Our framework outlines the technological and organizational path that organizations have to follow to integrate and manage knowledge effectively along their new product development process. In doing so, we also address the main limitations of the systems used to date and suggest the evolution towards a new category of KMS based on artificial intelligence that we refer to as Intelligent Knowledge Management Systems. We illustrate our framework with an analysis of several case studies.

Towards Understanding the Successful Adoption of Blog-Based Knowledge Management Systems

2010 ◽  
pp. 486-495 ◽  
Author(s):  
Joowon Park ◽  
Sooran Jo ◽  
Junghoon Moon
Keyword(s):  
Knowledge Management ◽  
Corporate Culture ◽  
Symbolic Interaction ◽  
Critical Issue ◽  
Organizational Knowledge ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Organizational Setting ◽  
The World ◽  
Intellectual Power

Knowledge has been recognized as a valuable resource for organizational activities. As businesses are entering the world of Web 2.0, knowledge sharing is widely regarded as a critical issue in the area of organizational knowledge management (KM). Recently, organizations have started adopting blog-based knowledge management systems (KMS) with encouraging results. Used as a tool for sharing organizational knowledge, blogging can aggregate the intellectual power of individual members, serve as innovative KMS, and lead to the creation of a trust-based corporate culture. However, despite the increasing adoption of blogs by organizations, a theoretical framework for understanding a blog-based KMS has not been developed. This chapter attempts to present a framework for understanding a blog-based KMS in an organizational setting, grounded in a socio-psychological approach and the application of social identity and symbolic interaction theories.

Knowledge Management Systems Diffusion in Chinese Enterprises

2011 ◽  
pp. 117-132
Author(s):  
One-Ki ("Daniel") Lee ◽  
Mo ("Winnie") Wang ◽  
Kai H. Lim ◽  
Zeyu ("Jerry") Peng
Keyword(s):  
Knowledge Management ◽  
Diffusion Process ◽  
Social Factors ◽  
Organizational Knowledge ◽  
Cultural Factors ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Chinese Enterprises ◽  
Holistic View ◽  
Practical Guidance

With the recognition of the importance of organizational knowledge management (KM), researchers have paid increasing attention to knowledge management systems (KMS). However, since most prior studies were conducted in the context of Western societies, we know little about KMS diffusion in other regional contexts. Moreover, even with the increasing recognition of the influence of social factors in KM practices, there is a dearth of studies that examine how unique social cultural factors affect KMS diffusion in specific countries. To fill in this gap, this study develops an integrated framework, with special consideration on the influence of social cultures, to understand KMS diffusion in Chinese enterprises. In our framework, we examine how specific technological, organizational, and social cultural factors can influence the three-stage KMS diffusion process, that is, initiation, adoption, and routinization. This study provides a holistic view of the KMS diffusion in Chinese enterprises with practical guidance for successful KMS implementation.

How to Start or Improve a KM System in a Hospital or Healthcare Organization

2005 ◽  
pp. 44-49 ◽  
Author(s):  
A. H. Rubenstein ◽  
E. Geisler
Keyword(s):  
Knowledge Management ◽  
21St Century ◽  
Health Sector ◽  
Healthcare Organization ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Key Factors ◽  
Important Means

One of the key factors that distinguishes enterprises of the 21st Century is the emphasis on knowledge and information. Knowledge management is an important means by which organizations can better manage information, and more importantly, knowledge. Unlike other techniques, knowledge management is not always easy to define, because it encompasses a range of concepts, management tasks, technologies, and practices, all of which come under the umbrella of the knowledge management. This chapter deals with two aspects of knowledge management systems: (a) why KM systems are needed, and (b) how to get started on designing and rolling out a new or improved KM system. The inferences are drawn from the direct experiences the authors have had during their academic and consulting activities in many health sector organizations.

An Agent System to Manage Knowledge in CoPs

2010 ◽  
pp. 230-248
Author(s):  
Juan Pablo Soto ◽  
Aurora Vizcaíno ◽  
Javier Portillo-Rodríguez ◽  
Mario G. Piattini
Keyword(s):  
Knowledge Management ◽  
Communities Of Practice ◽  
Trust Model ◽  
Knowledge Bases ◽  
Management Systems ◽  
Artificial Agents ◽  
Knowledge Management Systems ◽  
Agent Architecture ◽  
Geographically Distributed ◽  
Multi Agent

This paper proposes a multi-agent architecture and a trust model with which to foster the reuse of information in organizations which use knowledge bases or knowledge management systems. The architecture and the model have been designed with the goal of giving support to communities of practices which are a means of sharing knowledge. However, members of these communities are currently often geographically distributed, and less trust therefore exists among members than in traditional co-localizated communities of practice. This situation has led us to propose our trust model, which can be used to calculate what piece of knowledge is more trustworthy. The architecture’s artificial agents will use this model to recommend the most appropriate knowledge to the community’s members.

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